Seizing the potential of big data is essential in today’s energy environment. Analytics can unlock the promise of big data, bringing to light new analytic insights at all stages of the industry value. The energy industry uses data science to cut costs, optimize investments and reduce risk. Reducing costs with data science is a popular application in the industry. Data science also contributes to improving public safety by providing better monitoring and oversight.
The University of Manchester has wide ranging research and educational expertise in energy technologies and their societal impact. Bringing together this expertise is Manchester Energy. With access to major experimental facilities they have an unparalleled resource to support world-class research and teaching that will lead to the development of more sustainable energy solutions and the education of the energy leaders of tomorrow.
Ian is the Director of Manchester Energy. He undertakes research in the area of high voltage with particular interests including the novel power system equipment, power systems transients, the use of higher voltage systems in aerospace applications and power system induced corrosion. Ian's research looks into how to use existing infrastructure more effectively. He collaborates on a number of different projects such as CityVerve and Triangulum. City Verve aims to transform Manchester into a ‘smart city’ demonstrating the power of IoT technologies to revolutionise and improve city services across health and social care, transport and mobility, energy and environment, culture and the public realm. Triangulum is a €25 million Horizon 2020 project funded by The European Comission to demonstrate cutting-edge smart city technologies and roll them out across the world.
Alessandra is a Lecturer in Electrical and Electronic Engineering, her research interests include the areas of manufacturing system simulation and scheduling, optimization of energy systems and stochastic constrained control. Recently her research has involved designing consumer-focused control solutions for networks of smart buildings, control frameworks for large-scale optimal coordination of energy distributed resources and energy management systems for reducing the energy consumed during the manufacturing processes.